In our work, we focus more on Full-Reference Image Quality Assessment (FR-IQA) models [1]}, [2]}, these models are mostly used to represent the HVS with the aim of deriving a quality measure for images by comparing the perceptual similarity between distorted images and their respective reference image. A standard FR-IQA model seeks to imitate the HVS by exploiting photographic computational algorithms that represent contrast sensitivity, visual masking, luminance, etc.
A number of FR-IQA metrics have since being derived which include the Structure Similarity Index Measure (SSIM) [3]}, Multi Scale Structure Similarity Index Measure (MS-SSIM) [4]}, Visual Information Fidelity (VIF) [5]}, Feature Similarity Index Measure (FSIM) [6]}, Mean Deviation Similarity Index (MDSI) [7]}, etc.
